Merge pull request #2301 from yangnicole-ml/patch-3

Update nvv4-retirement.md

Author: prmerger-automator[bot]

articles/virtual-machines/sizes/gpu-accelerated/nvv4-retirement.md

@@ -23,7 +23,7 @@ On September 30, 2026, Microsoft Azure will retire the Standard_NV4as_v4, Standa
 
 Microsoft is recommending the Azure [NVads_V710_v5-series](/azure/virtual-machines/sizes/gpu-accelerated/nvadsv710-v5-series?tabs=sizebasic) VMs, which offer greater GPU memory bandwidth per GPU. The NVads_V710_v5-series VMs take advantage of the AMD Simultaneous Multithreading technology to assign dedicated vCPU threads to each VM and support NVMe for ephemeral local storage capability. 
 
-The NVads_V710_v5-series enables right-sizing for demanding GPU-accelerated graphics applications and cloud-based virtual desktops to provide a seamless end user experience while providing a cost-effective choice for a full range of graphics-enabled virtual desktop experiences. The VMs are also sized to deliver high-quality, interactive gaming experiences in the cloud, optimized for rendering and streaming complex graphics. In addition, the NVads_V710_v5-series supports small to medium AI/ML inference workloads such as Small Language Model (SLMs), recommendation systems, and semantic indexing, by taking advantage of the computational IP blocks in the Radeon Pro V710 GPUs.
+The NVads_V710_v5-series enables right-sizing for demanding GPU-accelerated graphics applications and cloud-based virtual desktops to provide a seamless end user experience while providing a cost-effective choice for a full range of graphics-enabled virtual desktop experiences. The VMs are also sized to deliver high-quality, interactive gaming experiences in the cloud, optimized for rendering and streaming complex graphics. In addition, the NVads_V710_v5-series supports small AI inference workloads such as Small Language Model (SLMs), recommendation systems, and semantic indexing, by taking advantage of the computational IP blocks in the Radeon Pro V710 GPUs.
 
 |Workload|Recommended SKU to Migrate to|
 | -------- | -------- |